Description

Data science and analytics are essential components to business decisions at companies of all sizes. Of course, collecting, managing, and analyzing mass amounts of data takes a lot more than simply typing into a spreadsheet. In this two-course bundle, you’ll learn Python, a general purpose, multi-paradigm programming language that has gained wide popularity for data science thanks to its simplicity and operability on different ecosystems. Not only will you learn Python, but you’ll learn how to manipulate data using Python, gaining an invaluable, highly lucrative skill that can set you up at high-paying data jobs in any industry.

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Describe each stage of the data analytics process

Explain basic statistical concepts relevant to data analytics

Install the Python environment & other auxiliary tools & libraries

Review important concepts of Python programming used to implement data science

Demonstrate the use of Python libraries like NumPy, Pandas, SciPy, scikit-learn, & Matplotlib to carry out different data projects

Employ different tools & methods to perform web scraping

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